Martin Ringsquandl
Martin Ringsquandl
Siemens Corporate Technology
Verifierad e-postadress på siemens.com - Startsida
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Capturing industrial information models with ontologies and constraints
E Kharlamov, BC Grau, E Jiménez-Ruiz, S Lamparter, G Mehdi, ...
International Semantic Web Conference, 325-343, 2016
542016
Analyzing political sentiment on Twitter
M Ringsquandl, D Petkovic
2013 AAAI Spring Symposium Series, 2013
342013
Semantic-Guided Feature Selection For Industrial Automation Systems
M Ringsquandl, S Lamparter, S Brandt, T Hubauer, R Lepratti
Proceedings of the 14th International Semantic Web Conference, 225-240, 2015
172015
Event-enhanced learning for KG completion
M Ringsquandl, E Kharlamov, D Stepanova, M Hildebrandt, S Lamparter, ...
European Semantic Web Conference, 541-559, 2018
102018
Reasoning on knowledge graphs with debate dynamics
M Hildebrandt, JAQ Serna, Y Ma, M Ringsquandl, M Joblin, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4123-4131, 2020
82020
Control apparatus of an automation system
T Hubauer, S Lamparter, M Ringsquandl, M Roshchin
US Patent 10,545,967, 2020
72020
On event-driven knowledge graph completion in digital factories
M Ringsquandl, E Kharlamov, D Stepanova, S Lamparter, R Lepratti, ...
2017 IEEE International Conference on Big Data (Big Data), 1676-1681, 2017
72017
Graph-based predictions and recommendations in flexible manufacturing systems
M Ringsquandl, S Lamparter, R Lepratti
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
72016
Diagnostics of trains with semantic diagnostics rules
E Kharlamov, O Savković, M Ringsquandl, G Xiao, G Mehdi, EG Kalayc, ...
International Conference on Inductive Logic Programming, 54-71, 2018
62018
Knowledge fusion of manufacturing operations data using representation learning
M Ringsquandl, S Lamparter, R Lepratti, P Kröger
IFIP International Conference on Advances in Production Management Systems …, 2017
52017
TAXONOMY EXTRACTION FROM AUTOMOTIVE NATURAL LANGUAGE REQUIREMENTS USING UNSUPERVISED LEARNING
M Ringsquandl, M Schraps
International Journal on Natural Language Computing 3 (4), 2014
42014
Semantic diagnostics of smart factories
O Savković, E Kharlamov, M Ringsquandl, G Xiao, G Mehdi, EG Kalayc, ...
Joint International Semantic Technology Conference, 277-294, 2018
32018
Expanding opinion lexicon with domain specific opinion words using semi-supervised approach
M Ringsquandl, D Petkovic
In Proceedings of BRACIS–WTI, Curitiba, Brasil, 2012
32012
Event-enhanced learning for knowledge graph completion
M Ringsquandl, E Kharlamov, D Stepanova, M Hildebrandt, S Lamparter, ...
ESWC, 2018
22018
Estimating processing times within context-aware manufacturing systems
M Ringsquandl, S Lamparter, R Lepratti
IFAC-PapersOnLine 48 (3), 2009-2014, 2015
22015
Context-aware analytics in MOM applications
M Ringsquandl, S Lamparter, R Lepratti
arXiv preprint arXiv:1412.7968, 2014
22014
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
Y Liu, M Hildebrandt, M Joblin, M Ringsquandl, V Tresp
arXiv preprint arXiv:2007.05292, 2020
12020
Filling gaps in industrial knowledge graphs via event-enhanced embedding
M Ringsquandl, E Kharlamov, D Stepanova, M Hildebrandt, S Lamparter, ...
17th International Semantic Web Conference, 2018
12018
Method for modeling a technical system
MM Geipel, S Lamparter, M Ringsquandl
US Patent App. 15/278,293, 2017
12017
Knowledge Graph Constraints for Multi-label Graph Classification
M Ringsquandl, S Lamparter, I Thon, R Lepratti, P Kröger
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
12016
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Artiklar 1–20